This paper provides an overview on two approaches to combine processmining and discrete-event simulation in manufacturing and logistics for mutual benefit. One approach focuses on generating simulation models based on process models, while the other approach utilizes process models to validate existing simulation models. Both approaches are explained on a conceptual and technical level. In addition, two real-world use cases from the field of intralogistics and from battery cell assembly are presented. Initial experiences and lessons learned from applying the approaches to the use cases are discussed. The findings illustrate the potential and the limitations of the explored combinations.